331 citations · 368 across the 3 of their papers we have counts for
3 papers · 1 filter
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop
Saeed S. Alahmari, Dmitry Goldgof, Lawrence O. Hall +3
Lack of enough labeled data is a major problem in building machine learning based models when the manual annotation (labeling) is error-prone, expensive, tedious, and time-consumin…
A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection
Hady Ahmady Phoulady, Peter R. Mouton
Analyzing Pap cytology slides is an important tasks in detecting and grading precancerous and cancerous cervical cancer stages. Processing cytology images usually involve segmentin…
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos +30
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective an…